Matching genomic evidence to claims about Mycobacterium avium subsp. paratuberculosis: Host association, host...

Whole-genome sequencing (WGS) permits high-resolution comparison of Mycobacterium avium subsp. paratuberculosis (MAP) isolates and pangenome analysis. Combined with animal-movement data, WGS can support transmission inference, but resolution alone does not establish the biological meaning of genomic variation. This focused narrative review applies a two-dimensional framework to purposively selected MAP studies, separating claim targets from support profiles. Claim targets include lineage identity, host-source or lineage characterization, host association, transmission, candidate genomic features, measured bacterial or host-cell phenotypes, natural-host infection fitness, disease or damage, shedding, and control outcomes. Depending on the claim, evidence operations may include characterization, context-aware comparative inference, direct endpoint ascertainment, and controlled feature perturbation; these are non-ordinal and may co-occur. On-target attribution, independent replication, and transportability are reported separately. The claim, not the study, is the unit of assessment. Typing markers support isolate or lineage discrimination, whereas phylogenomics supports evolutionary inference; neither alone establishes host adaptation. Pangenome comparisons and microbial genome-wide association studies nominate candidate features rather than establish adaptation. Cell-envelope and iron-associated studies support specified biochemical, transcriptional, or physiological phenotypes under defined conditions, while macrophage and calf models support only the endpoints measured. Annotated sequence variation alone nominates pathogenicity hypotheses. Across the illustrative studies selected here, MAP genomics most directly supported lineage classification, candidate discovery, measured bacterial phenotypes, bounded transmission inference, and natural-host infection-fitness claims. Claims about adaptation, mechanism, virulence, or control require endpoints and comparisons matched to the stated claim and model; feature-specific causal claims additionally require evidence linking the bacterial feature to the measured endpoint.